---
title: CSV URL Reader
---

The **CSV URL Reader** processes CSV files directly from URLs, allowing you to create knowledge bases from remote CSV data sources.

## Code

```python examples/concepts/knowledge/readers/csv_reader_url_async.py
import asyncio

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

knowledge = Knowledge(
    # Table name: ai.csv_documents
    vector_db=PgVector(
        table_name="csv_documents",
        db_url=db_url,
    ),
)

# Initialize the Agent with the knowledge
agent = Agent(
    knowledge=knowledge,
    search_knowledge=True,
)

if __name__ == "__main__":
    # Comment out after first run
    asyncio.run(
        knowledge.add_content_async(
            url="https://agno-public.s3.amazonaws.com/demo_data/IMDB-Movie-Data.csv"
        )
    )

    # Create and use the agent
    asyncio.run(
        agent.aprint_response("What genre of movies are present here?", markdown=True)
    )
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install libraries">
    ```bash
    pip install -U pandas requests sqlalchemy psycopg pgvector agno
    ```
  </Step>

  <Snippet file="run-pgvector-step.mdx" />

  <Step title="Run Agent">
    <CodeGroup>
    ```bash Mac
    python examples/concepts/knowledge/readers/csv_reader_url_async.py
    ```

    ```bash Windows
    python examples/concepts/knowledge/readers/csv_reader_url_async.py
    ```
    </CodeGroup>
  </Step>
</Steps>

## Params

<Snippet file="csv-url-reader-reference.mdx" />


